101 search results - page 8 / 21 » Spatial Texture Analysis: A Comparative Study |
ICCV
2003
IEEE
14 years 11 months ago
2003
IEEE
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
PAKDD
2009
ACM
14 years 7 months ago
2009
ACM
Detecting changes in spatial datasets is important for many fields. In this paper, we introduce a methodology for change analysis in spatial datasets that combines contouring algor...
EMMCVPR
2007
Springer
14 years 4 months ago
2007
Springer
This study extended the computation of GLCM (gray level co-occurrence matrix) to a three-dimensional form. The objective was to treat hyperspectral image cubes as volumetric data s...
JCDL
2003
ACM
14 years 3 months ago
2003
ACM
The increasing power of techniques to model complex geometry and extract meaning from 3D information create complex data that must be described, stored, and displayed to be useful...
AMAI
2007
Springer
13 years 10 months ago
2007
Springer
It is widely accepted that spatial reasoning plays a central role in artificial intelligence, for it has a wide variety of potential applications, e.g., in robotics, geographical...